Summary of Provably Mitigating Overoptimization in Rlhf: Your Sft Loss Is Implicitly An Adversarial Regularizer, by Zhihan Liu et al.
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizerby Zhihan Liu,…
Summary of Diffusion-based Reinforcement Learning Via Q-weighted Variational Policy Optimization, by Shutong Ding et al.
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimizationby Shutong Ding, Ke Hu, Zhenhao Zhang, Kan…
Summary of Differentiable Cluster Graph Neural Network, by Yanfei Dong et al.
Differentiable Cluster Graph Neural Networkby Yanfei Dong, Mohammed Haroon Dupty, Lambert Deng, Zhuanghua Liu, Yong…
Summary of Evolutionary Large Language Model For Automated Feature Transformation, by Nanxu Gong et al.
Evolutionary Large Language Model for Automated Feature Transformationby Nanxu Gong, Chandan K.Reddy, Wangyang Ying, Haifeng…
Summary of Negative As Positive: Enhancing Out-of-distribution Generalization For Graph Contrastive Learning, by Zixu Wang et al.
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learningby Zixu Wang, Bingbing Xu, Yige…
Summary of Geoadaler: Geometric Insights Into Adaptive Stochastic Gradient Descent Algorithms, by Chinedu Eleh et al.
GeoAdaLer: Geometric Insights into Adaptive Stochastic Gradient Descent Algorithmsby Chinedu Eleh, Masuzyo Mwanza, Ekene Aguegboh,…
Summary of Continuous Temporal Domain Generalization, by Zekun Cai et al.
Continuous Temporal Domain Generalizationby Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang ZhaoFirst submitted…
Summary of Achieving Dimension-free Communication in Federated Learning Via Zeroth-order Optimization, by Zhe Li et al.
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimizationby Zhe Li, Bicheng Ying, Zidong Liu,…
Summary of A Systematic Bias Of Machine Learning Regression Models and Its Correction: An Application to Imaging-based Brain Age Prediction, by Hwiyoung Lee et al.
A Systematic Bias of Machine Learning Regression Models and Its Correction: an Application to Imaging-based…
Summary of Wasserstein Distances, Neuronal Entanglement, and Sparsity, by Shashata Sawmya et al.
Wasserstein Distances, Neuronal Entanglement, and Sparsityby Shashata Sawmya, Linghao Kong, Ilia Markov, Dan Alistarh, Nir…